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Lvmh and Google allies for cloud artificial intelligence

The goal of the luxury giant is to perfect the technologies that allow forecasting demand and therefore optimizing the production and distribution chain

Lvmh and Google allies for cloud artificial intelligence

lvmh allies with Google to develop cloud-based artificial intelligence. The French luxury giant thus aims to strengthen its brands (from Dior to Louis Vuitton, from Bulgari to Tiffany, via Fendi and Loro Piana), thanks to technologies that make it possible to forecast demand and optimize stocks. Benefits are also expected in terms of customer experience, because artificial intelligence makes it possible to personalize services, while respecting privacy and security at the same time.

Google Cloud and Lvmh they will develop new algorithms together, artificial intelligence components and machine learning algorithm directly in the laboratories of Mountain View in California. In addition, a “Data and AI Academy” will be launched in Paris.

"This new partnership with Google Cloud, which is unprecedented, reflects our great ambitions in this field - said Toni Belloni, CEO of the Lvmh group - and will make us take a step forward in the use of data and artificial intelligence ”.

“Together, we can help drive the future of customer experience in the luxury industry,” added Thomas Kurian, Google Cloud CEO.

The work on artificial intelligence is nothing new for Lvmh, which in recent years has seen a constant increase in the number of employees employed in this sector. However, the pandemic has made clear the need to further increase the development of this type of technology.

To date, some of the most important brands of the French giant such as Sephora, Louis Vuitton and Dior adopt cutting-edge solutions - for example through "machine learning" - to improve sales forecasting and consequently optimize the global production and distribution chain.

Processes of this type also have a value in terms of sustainability, because they allow us to avoid unprofitable shipments, concentrating resources on the markets from which we expect the best performance.

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